A Video Interpretation Platform Applied to Bank Agency Monitoring

LES AUTEURS Benoît Georis, Magali Mazière, François Brémond and Monique Thonnat


In this article we present a real time platform for semantic video interpretation applied to bank agency monitoring. The proposed system is a multi-camera platform, which recognizes user-predefined scenarios, such as bank attack scenarios. These scenarios are modelled by domain experts using a back and forth process and based on a representation language. In order to address bank monitoring issues, the system has been improved based on two evaluation types. First, a repair stage guided by a careful technical evaluation has been performed at each level of the interpretation chain. As a consequence, the robustness obtained was sufficient enough to recognize all scenarios of interest. Second, an end-user evaluation has helped the experts to improve the scenario models to adapt them to real life situations. We report results of scenario recognition performances on real video sequences
taken in a bank agency.

Mots clé: scenario recognition, performance evaluation, semantic video interpretation

Pour télécharger cet article,  cliquez ici

BibTeX reference:

AUTHOR = {B. Georis and M. Maziere and F. Bremond and M. Thonnat},
BOOKTITLE = {Proceedings of IDSS'04 - 2nd Workshop on Intelligent
Distributed Surveillance Systems},
TITLE = {A Video Interpretation Platform Applied To Bank Agency Monitoring},
MONTH = {FEB 23},
YEAR = {2004},

Dernière mise à jour : 8/03/04